💫 Industrial-strength Natural Language Processing (NLP) in Python
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Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
- quiz-questions
- answers
- assessment
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Deep Pink is a chess AI that learns to play chess using deep learning.
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
- python
- text-processing
- text-parser
- python-module
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Whiteboard animations with subject-first coloring, ink-aware color clusters, animated real hands, and a local Gradio UI. Developed in Vietnam.